Remote Senior Data Engineer
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Description:
- The Senior Data Engineer position involves working with a team for an American client, focusing on ingesting a high volume of data and transforming it to facilitate decision-making.
- Responsibilities include setting up data imports from various sources, building scalable pipelines for data processing, designing efficient data assets, and collaborating with cross-functional teams.
Requirements:
- A BS+ in computer science or equivalent experience is required.
- Candidates should have at least 3 years of experience in Data Engineering and Python.
- Strong experience with AWS technologies like Glue, Athena, EMR Serverless, Kinesis, Redshift, Lambda, Step Functions, and Data Migration Service is necessary.
- Familiarity with Spark, PySpark, Iceberg, Delta lake, and Aurora DB is essential.
- Nice to have skills include data modeling, managing data transformation jobs, AWS CodePipeline, Beanstalk, Azure DevOps, Cloud Formation, effective communication, and willingness to learn new technologies.
Benefits:
- The position offers paid training programs and English language courses.
- Benefits include medical insurance, sports program compensation, PE and legal support.
- Employees can enjoy awesome team events and a wide variety of knowledge-sharing opportunities.
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